WORDPRESS – Lesson 08 – Theme Editor, Customize Themes and Templates, Posts and Pages Customization
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Here’s HOW TO TURN ON our inclusive language analysis on your #WordPress site! 🌟
If you want to utilize our inclusive language analysis on Yoast SEO, you need to turn it on first! In this video, we show you quickly how its done on the WordPress backend! #YoastSEO #InclusiveLanguage #SearchEngineOptimization #Heres #TURN #inclusive #language #analysis #WordPress #site
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Vertical large language model TechGPT-7B
TechGPT is a vertical domain large language model released by the “Knowledge Graph Research Group of Northeastern University”. The 7B version that has been fully fine-tuned has been open sourced. Demo: TechGPT-neukg TechGPT mainly strengthens the following three types of tasks: various information extraction tasks such as relational triples extraction with “knowledge graph construction” as
An open platform for operating large language models, OpenLLM
OpenLLM is a production-grade open platform for manipulating large language models (LLMs). Supports convenient Fine-tune fine-tuning, Serve model service, deployment and monitoring of any LLM. With OpenLLM, run inference using any open source large language model, deploy to the cloud or on-premises, and build powerful AI applications. OpenLLM features include: Advanced LLM: Built-in support for
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ChatGLM2-6B Homepage, Documentation and Download- Open Source Bilingual Dialogue Language Model- News Fast Delivery
ChatGLM2-6B is an open source Chinese-English bilingual dialogue model ChatGLM-6B The second-generation version of ChatGLM, on the basis of retaining many excellent features of the first-generation model, such as smooth dialogue and low deployment threshold, ChatGLM2-6B introduces the following new features: more powerful performance: Based on the development experience of the first generation model of
Large language model MPT-30B
MPT-30B is part of the Mosaic Pretrained Transformer (MPT) model family, which uses a transformer architecture optimized for efficient training and inference, and is trained from scratch on 1T tokens of English text and code. This model uses the MosaicML LLM codebase, and was pre-trained, fine-tuned, and inferenced on the MosaicML platform by MosaicML’s NLP
FinGPT Homepage, Documentation and Downloads – Large Pre-trained Language Models in the Financial Field – News Fast Delivery
FinGPT is a large-scale pre-trained language model in the financial field. It can understand and generate financial news, analyze public sentiment on social media, interpret financial reports such as annual reports, quarterly earnings reports, etc., make market forecasts, and provide personalized investment advice by learning users’ personal preferences. The training data for FinGPT comes from
Make large language models safe and reliable LangKit
LangKit is an open source text metrics toolkit for monitoring language models. It provides a set of methods for extracting relevant signals from input and/or output text, which are compatible with the open source datalogging library whylogs. Currently supported metrics include: Text Quality Readability Score Complexity and Grade Score Text Relevance Similarity Score Between Prompts/Responses
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Large language model text generation reasoning Text Generation Inference
Rust, Python, and gRPC servers for text generation inference. Used in production by HuggingFace to power LLM’s api inference widget. Features: Serve the most popular large-scale language models using a simple launcher Tensor Parallelism for faster inference on multiple GPUs Continuously batch incoming requests using token streaming of Server-Sent Events (SSE) to improve overall performance
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Lit-Parrot Homepage, Documentation and Downloads – A Hackable Implementation of Large Language Models – News Fast Delivery
Lit-Parrot is an implementation of the nanoGPT-based StableLM/Pythia/INCITE language model. Supports flash attention, LLaMA-Adapter fine-tuning, and pre-training. Hackable implementations of state-of-the-art open source large language models: This implementation is based onLit-LLaMAandnanoGPT, powered byLightning Fabricprovide support. The weights can be downloaded as follows: Design Principles This repository follows openness through clarity main principles. Lit-Parrot yes:
fe Homepage, Documentation and Downloads – An Embeddable Language Implemented in ANSI C – News Fast Delivery
A tiny, embeddable language implemented in ANSI C (= reverse (fn (lst) (let res nil) (while lst (= res (cons (car lst) res)) (= lst (cdr lst)) ) res )) (= animals ‘(“cat” “dog” “fox”)) (print (reverse animals)) ; => (“fox” “dog” “cat”) overview Support numbers, symbols, strings, lambdas, macros Lexically scoped variables, closures Use
Large language model quantization toolkit AutoGPTQ
AutoGPTQ is a large language model quantization toolkit based on the GPTQ algorithm, which is easy to use and has a user-friendly interface. Performance comparison and inference speed The following results are generated by this script. The batch size of the text input is 1, the decoding strategy is beam search and the model is
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YuLan-Chat Homepage, Documentation and Downloads – Large Language Dialogue Model Fine-tuned Based on Mixed Chinese and English Instructions – News Fast Delivery
YuLan-Chat is a large language dialogue model fine-tuned based on high-quality Chinese-English mixed instructions. YuLan-Chat uses LLaMA as the base, fine-tuned with well-optimized high-quality Chinese-English mixed instructions. Among them, the YuLan-Chat-65B model can significantly surpass the performance of existing open source models on Chinese and English related evaluation data sets. The team said that it
Multilingual and multitasking large language model TigerBot
TigerBot is a multilingual and multitask large-scale language model (LLM). According to the automatic evaluation of the OpenAI InstructGPT paper on the public NLP dataset, TigerBot-7B achieves 96% of the comprehensive performance of the OpenAI model of the same size. Currently open source: Model: TigerBot-7B, TigerBot-7B-base, TigerBot-180B (research version), Code: Basic training and reasoning code,
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